About ResearchImpact AI
Accelerating scientific progress by making quality research impact scalable and practical
Research impact assessment demonstrates how academic work creates meaningful change in society and drives scientific progress. It's essential for securing funding, institutional recognition, and policy influence. But the process is intensely time-consuming. Researchers spend weeks manually compiling evidence, analysing outcomes, and writing reports that prove their work matters.
ResearchImpact AI automates this complex process. We generate comprehensive, evidence-based impact reports in minutes rather than weeks, empowering researchers and institutions to demonstrate their contributions through professional-quality assessments without sacrificing precious research time.
Currently open for beta trial
The Four Core Research Impact Questions
Every research impact assessment addresses four fundamental questions that demonstrate how your work creates meaningful change
What is the problem this research seeks to address and why is it significant?
We analyse the challenge your research tackles, including the populations affected, the magnitude of the issue, and why solving this problem matters for society. This includes examining contextual background, economic burden, and strategic significance within your field.
What are the research outputs of this study?
We evaluate the tangible deliverables and achievements of your research: publications, capacity building, decision support tools, system enhancements, and innovations developed. This demonstrates the concrete contributions your research has made to advancing knowledge and practice.
What impacts has this research delivered to date?
We assess the real-world outcomes and changes your work has achieved, from improved health outcomes and policy changes to technological adoption and environmental benefits. This includes domain-specific impacts, economic value creation, and reputational influence, all supported by quantitative evidence.
What impact from this research is expected in the future?
We project potential long-term outcomes with realistic timeframes, evidence-based rationale, and consideration of implementation pathways and potential barriers. This forward-looking analysis connects your demonstrated achievements to future societal benefits.
Who Benefits from ResearchImpact AI
Supporting the entire research ecosystem—from individual researchers building their careers to institutions managing complex assessment requirements
Early & Mid-Career Researchers
Save days of work on ARC DECRA, NHMRC fellowships, and promotion dossiers. Discover hidden impacts you didn't know existed. Build your impact profile systematically from day one of your career.
Principal Investigators & Senior Researchers
Generate evidence-based impact narratives for major grants (ARC Discovery/Linkage, NHMRC, ERC, NIH), promotion to professor, and ERA/REF submissions. Document decades of influence efficiently for high-stakes applications.
Research Funding Agencies
Streamline grant evaluation with consistent, evidence-based impact assessment. Process hundreds of applications efficiently while maintaining rigorous quality standards. Benchmark impact across portfolios and research domains for strategic funding decisions.
Universities & Research Support Teams
Streamline impact assessment and grant application requirements efficiently. Scale impact assessment across hundreds of researchers without expanding staff. Generate consistent reports for institutional requirements and support ARC/NHMRC application pipelines.
How Our Technology Works
ResearchImpact AI employs an AI-powered pipeline combining multiple technologies
Multi-Source Data Retrieval
Automatic search and retrieval from publication databases, peer-reviewed journals, citation networks, researcher profiles, policy documents, news articles, and industry reports.
Deep Research & Context Analysis
Advanced AI models analyse the broader context of your research: problem identification, field-specific background, related work and trends, knowledge gaps, and evidence gathering from authoritative sources with proper citation tracking.
Comprehensive Impact Analysis
Rigorous evaluation across multiple impact dimensions using domain-specific outcome measures, economic value assessment, organisational and reputational influence evaluation, and future impact projections with evidence-based rationale.
Professional Report Generation
AI-driven synthesis and documentation in publication-ready formats with evidence-based narrative generation, proper citations, and structured reports addressing all four core research questions. Reports are delivered as Word documents with executive summaries and detailed section breakdowns.
All analysis uses state-of-the-art large language models combined with retrieval-augmented generation (RAG) technology to ensure accuracy, relevance, and proper attribution of sources. The system maintains strict citation standards throughout.
ResearchImpact AI is designed to enhance, not replace, human judgement in research assessment. Our technology automates the time-intensive process of searching across databases, compiling evidence, and synthesising findings. Following the San Francisco Declaration on Research Assessment (DORA) and Leiden Manifesto principles, we believe that "no numbers without stories, and no stories without numbers." The system helps researchers efficiently discover and document their impact whilst maintaining the qualitative expert assessment essential to responsible evaluation.
The system searches publicly available information and may not capture complete research impact, particularly informal influences, undocumented impacts, or confidential applications. Researchers should always verify AI-generated outputs and references before submission, adding their expert interpretation, contextual knowledge, and any additional evidence to create a comprehensive impact narrative.
Built for Researchers, By Researchers
ResearchImpact AI was developed in partnership with researchers and research administrators who understand the real challenges of impact documentation. Our assessment frameworks draw on established methodologies including the NSW Health RIAF and have been refined through trials at leading Australian universities, including the University of Sydney, University of Technology Sydney (UTS), and Monash University.
We've built specialised assessment frameworks for 10+ research domains, from healthcare to climate science to social sciences, each designed with field-specific input to capture how different disciplines create impact. The platform continuously evolves based on researcher feedback, ensuring it meets the diverse needs of the global research community.